- Develop your model in Python/R, deploy it on UbiOps and call it from your low code app.
- No in-depth IT knowledge required.
- Import already made models from our community page to get started, and adjust according to your needs.
Use UbiOps to deploy and run your AI, ML & analytics models.
Integrate them with your low-code front-ends.
- Run any AI/ML model, automation script, data processing script, statistical model, web scraper, simulation model or reporting/email script.
- Process any type of data: structured data, files, images, text, sensor data, and more. Not just a DataFrame.
Low code + data analytics: get the best of both worlds
''Eneco managed to lower costs associated with inefficient planning with 36%. To enable more accurate planning of technicians, CLEVR developed a machine learning model which, based on asset-, customer- and seasonal characteristics, predicted the conversion of invitations to appointments, together with UbiOps.''
Why choose UbiOps?
Create your deployment on UbiOps using the UI. A quick way to understand how the platform works without seeing any code.
Python/R knowledge is all you need
UbiOps is developed for data scientists and teams who are looking for an easy and production-ready way to deploy and run their Python or R models as live services in the cloud.
Pre-build models to import
We have three tutorial categories: Python tutorials, R tutorials and ready deployments. Tutorials contain full walkthroughs that can be run in Jupyter notebook or Rstudio. Ready deployments contain ready-to-go deployment packages.
Each deployment or pipeline has its own API endpoint to send data to the service. Also, UbiOps has an extensive platform API through which all of its functionality is available.
Easy maintenance on your models
UbiOps provides four ways in which you can check your activities. Audit Events, Logging, Monitoring and Notifications.
Be sure your app works 24/7.
UbiOps can run your AI/ML models, automation scripts, data processing scripts, statistical models, web scrapers, simulation models or reporting and email scripts.
UbiOps can be integrated with low-code platforms.
Machine learning with OutSystems: Object detection app
Using UbiOps in combination with OutSystems, applications to predict churn, detect fraud, recommend products, or any other kind of app that uses analytics is created in a fraction of the time it usually takes.
With two platforms, an open-source AI model and some knowledge of software development, you can create your own AI-powered application.
Building a low-code app powered by AI: Age estimation app
To build the application logic and front-end, we use the low-code platform Mendix. To deploy and run the Caffe neural network and use it as a service with an API endpoint we make use of UbiOps. We use a pre-trained (open source) neural network, and two tools: Mendix and UbiOps. Both Mendix and UbiOps can be used for free, so you can try it out yourself as well.
The serving endpoint of the model in UbiOps can be consumed by the Mendix app to make requests.
Get started within 5 minutes
UbiOps offers you multiple quickstart methods. This allows you to choose the one that you are most comfortable with: WebApp / User Interface, CLI or Client Library.
1: UI Quickstarts
Create a deployment on UbiOps using the UI. A quick way to understand how UbiOps works without seeing any code.
2: Client library Quickstart
Create a deployment on UbiOps using the client Library. A good option if you do not want to leave your Jupyter Notebook or Rstudio environment.